ZipRecruiter

Log In

1

Weekend Amazon Data Engineer Jobs in Malden, MA (NOW HIRING)

American Tower Corporation

Data Engineer

Woburn, MA · On-site

$125K - $150K/yr

As a Data Engineer, you will implement data quality checks, support pipeline automation, document ... Exposure to cloud platforms such as Azure, Amazon Web Services, and/or Google Cloud. * Exposure to ...

3B Staffing LLC

Lead Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

Title: Lead Data Engineer Location: Hybrid onsite, 3 days in Boston (core days: Tues- Thurs ... Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS

3B Staffing LLC

Lead Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

Title: Lead Data Engineer Location: Hybrid onsite, 3 days in Boston (core days: Tues- Thurs ... Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS

SS&C Technologies

Principal Data Engineer

Waltham, MA · On-site

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

American Tower

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

Deep experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and with modern data platforms such as Databricks or Snowflake. * Strong ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

Cognizant Technology Solutions

AWS Data Engineer

Boston, MA · On-site

$95K - $115K/yr

... Engineer to design, develop, and maintain cloud-based solutions leveraging AWS services. The ideal ... Configure and maintain Amazon Redshift for data warehousing and analytics. * Perform database ...

KYYBA Inc

Cloud Data Engineer

Quincy, MA · On-site

Preferred : • Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification • Informatica (IICS) and Airflow (Orchestration) experience • Snowflake certification • Cognos and ...

Deloitte

Sr Databricks Data Engineer

Boston, MA

$124K - $149K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

MFS

Software Engineering, Senior Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... or Amazon AWS. Familiarity with Agile SDLC, DevOps practices, CI/CD processes, and cloud ... Understanding of modern data architecture concepts such as unified data management, data mesh ...

National Geographic

Senior Data Engineer

Boston, MA · On-site

$116.80 - $146/hr

What you'll do as a Senior Data Engineer * Build scalable, high-performance data infrastructure ... Experience working with cloud infrastructure, preferably Amazon Web Services (AWS), along with ...

next page

Showing results 1-20

All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Malden, MA

Weekend Amazon Data Engineer information

See Malden, MA salary details

$46.4K

$135.3K

$185.1K

How much do weekend amazon data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend amazon data engineer in Malden, MA is $135,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Malden, MA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Malden, MA with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

American Tower Corporation

Woburn, MA • On-site

$125K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

American Tower rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies

Job description

The Team

We are seeking a Data Engineer to join American Tower's IT organization's Data Engineering team. The team focuses on building, supporting, and maintaining data pipelines and datasets that enable analytics, reporting, and data products across the enterprise. Day to day you will collaborate with senior engineers, Data Products, Analytics, and business teams to deliver reliable and scalable data solutions. As a Data Engineer, you will implement data quality checks, support pipeline automation, document data assets, and troubleshoot issues under the guidance of senior team members.

American Tower is a global digital infrastructure company serving customers through tower sites and other real estate solutions that support connectivity and opportunity, focused on achieving our vision of Building a More Connected World. Our success is rooted in the potential of our people and the power of local teams at our offices and sites across 25 countries.
We are one of the largest global Real Estate Investment Trusts (REITs) and a publicly traded (NYSE:AMT), Fortune 500 Company headquartered in Boston, Massachusetts. The next decade will be an exciting time as we evolve our infrastructure to meet tomorrow's needs and position our people to elevate their impact, their potential, and our shared success. Come grow your career with us!
For more information about how American Tower is building a more connected world, visit americantower.com 
American Tower is proud to be an equal opportunity employer and will not discriminate against an applicant or employee based on age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, disability, military or veteran status, genetic information, pregnancy, reproductive decisions, or any other characteristic protected under applicable law.

American Tower is committed to fair and equitable compensation practices. Placement within the salary range is based on a variety of factors, including relevant experience, skills, certifications, job level, and location. For U.S.-based candidates only, please see the base salary range for this position listed below. This position is also eligible for annual bonus, and annual equity award and participation in the Employee Stock Purchase Plan (ESPP).  For candidates outside of the U.S., salary and benefits are based upon local market practice.

American Tower also offers a comprehensive benefits package, which includes healthcare coverage, a 401(k) savings plan, paid time off, company holidays, sick leave, parental leave, and access to an Employee Assistance Program focused on mental and financial wellness, please click here to learn more.

What You Need to Succeed

  • Bachelor's degree required, with a concentration in Computer Science or related quantitative field preferred.
  • Master's degree in Computer Science or related quantitative field preferred.
  • Between 2-4 years of data engineering, data development, analytics engineering, database development, or related technical experience required.
  • Working knowledge of Structured Query Language and experience writing queries for data extraction, transformation, and analysis.
  • Working knowledge of Python or another programming language used for data processing.
  • Exposure to cloud platforms such as Azure, Amazon Web Services, and/or Google Cloud.
  • Exposure to modern data platforms such as Databricks, Snowflake, and/or similar technologies.
  • Basic understanding of data pipeline concepts including ingestion, transformation, scheduling, and monitoring.
  • Familiarity with Spark, PySpark, and/or distributed data processing preferred.
  • Familiarity with orchestration tools such as Azure Data Factory, Airflow, and/or similar tools preferred.
  • Basic understanding of data quality, validation, metadata, lineage, and access control concepts.
  • Basic understanding of data modeling concepts, including tables, relationships, facts, dimensions, and business-friendly datasets.
  • Experience using version control tools such as Git.
  • Ability to work in Agile or iterative delivery environments.
  • Eagerness to learn modern data engineering practices and grow into more advanced engineering responsibilities.
  • Fluency in English required; multilingual capabilities preferred.
  • Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively.
  • Ability to work with different functional groups and levels of employees to effectively and professionally achieve results.
  • Strong organizational skills; ability to accomplish multiple tasks within the agreed upon timeframes through effective prioritization of duties and functions in a fast-paced environment.

What You Can Offer Us

  • Build, support, and maintain data pipelines and datasets that enable analytics, reporting, and data products.    
  • Implement data quality checks, validation routines, and monitoring processes to support reliable data delivery.    
  • Support pipeline automation, scheduling, and troubleshooting activities across data platforms.    
  • Document data assets, pipeline logic, metadata, and technical processes in alignment with established standards.    
  • Collaborate with senior engineers, Data Products, Analytics, and business teams to understand requirements and deliver scalable data solutions.    
  • Follow established coding standards, documentation practices, and deployment processes.    
  • Troubleshoot issues, escalate questions appropriately, and identify and escalate risks when needed.    
  • Other duties as assigned.    

What American Tower employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply